Akio Uemura

57 total papers · 743 total citations
39 papers, 615 citations indexed

About

Akio Uemura is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Akio Uemura has authored 39 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 8 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Akio Uemura's work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Akio Uemura is often cited by papers focused on Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). Akio Uemura collaborates with scholars based in Japan, United States and Spain. Akio Uemura's co-authors include Satoru Hosoda, Tetsuo Takehara, Tomohide Tatsumi, Norio Hayashi, Kazuyoshi Ohkawa, Katsuaki Kato, Seiichi Mizushima, Ryotaro Sakamori, Shinjiro Yamaguchi and Tatsuya Kanto and has published in prestigious journals such as Hepatology, Cancer and Biochemical and Biophysical Research Communications.

In The Last Decade

Akio Uemura

35 papers receiving 600 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Akio Uemura 205 157 104 101 81 39 615
Hounan Wu 107 0.5× 260 1.7× 88 0.8× 31 0.3× 32 0.4× 24 693
Tian Liu 52 0.3× 204 1.3× 50 0.5× 72 0.7× 29 0.4× 32 501
LiuLiang Qin 194 0.9× 304 1.9× 170 1.6× 28 0.3× 15 0.2× 28 620
Laura Caponi 139 0.7× 183 1.2× 54 0.5× 62 0.6× 7 0.1× 47 636
Yanshuang Wu 46 0.2× 273 1.7× 50 0.5× 53 0.5× 46 0.6× 26 519
Satoshi Horie 34 0.2× 156 1.0× 141 1.4× 45 0.4× 64 0.8× 46 626
Yan Xue 65 0.3× 171 1.1× 107 1.0× 93 0.9× 6 0.1× 41 614
Izumi Hayashi 31 0.2× 159 1.0× 28 0.3× 147 1.5× 17 0.2× 50 634
Xianming Kong 63 0.3× 274 1.7× 83 0.8× 59 0.6× 12 0.1× 24 551
Wenhui Ma 28 0.1× 211 1.3× 173 1.7× 61 0.6× 13 0.2× 45 669

Countries citing papers authored by Akio Uemura

Since Specialization
Citations

This map shows the geographic impact of Akio Uemura's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akio Uemura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Uemura more than expected).

Fields of papers citing papers by Akio Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akio Uemura. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akio Uemura. The network helps show where Akio Uemura may publish in the future.

Co-authorship network of co-authors of Akio Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Uemura. A scholar is included among the top collaborators of Akio Uemura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akio Uemura. Akio Uemura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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